Computer Science > Human-Computer Interaction

Title:Wi-Fi Gesture Recognition on Existing Devices

Abstract: This paper introduces the first wireless gesture recognition system that
operates using existingWi-Fi signals and devices. To achieve this, we first
identify limitations of existing wireless gesture recognition approaches that
limit their applicability to Wi-Fi. We then introduce algorithms that can
classify gestures using information that is readily available on Wi-Fi devices.
We demonstrate the feasibility of our design using a prototype implementation
on off-the-shelf Wi-Fi devices. Our results show that we can achieve a
classification accuracy of 91% while classifying four gestures across six
participants, without the need for per-participant training. Finally, we show
the feasibility of gesture recognition in non-line-ofsight situations with the
participants interacting with a Wi-Fi device placed in a backpack.